Statistical Analysis

Statistical Analysis: The Basics explores the importance of statistical analysis in the modern world by asking statistical questions about data and explains how to conduct such analyses and correctly interpret the results.

Statistical Analysis: The Basics provides an engaging and easy to read primer on this sometimes daunting subject. Intended for those with little or no background in mathematics or statistics, this book explores the importance of statistical analysis in the modern world by asking statistical questions about data and explains how to conduct such analyses and correctly interpret the results.

Packed with everyday examples from sport, health, education, and leisure, it reinforces the understanding of core topics while avoiding the heavy use of equations and formulae. Written in a highly accessible style and adopting a hands on approach, each chapter is accompanied by a summary of key points, illustrations and tables, and recommendations for further reading, with the final chapter delving into the practicalities of conducting a real life statistical research project.

Statistical Analysis: The Basics is essential reading for anyone who wishes to master the fundamentals of modern day statistical analysis.

Autorentext

Christer Thrane is a Sociologist and a Professor at Inland Norway University of Applied Sciences.

Klappentext

Statistical Analysis: The Basics explores the importance of statistical analysis in the modern world by asking statistical questions about data and explains how to conduct such analyses and correctly interpret the results.

Inhalt

Foreword and Acknowledgments. Preface: What The Book is About and What it is Not About. 1. Introduction: Statistical Analysis as an Investigative Tool 2. Describing Variables 3. Examining Associations between Two Variables: Bivariate Analysis 4. Inferential Statistical Analysis 5. Several Independent Variables and One Dependent Variable: Multiple Regression 6. Identifying a Causal Effect: Statistical and Experimental Control 7. Statistical Analysis in Present-Day life 8. Doing Your Own Statistical Research Project. Glossary (with data-driven examples)